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Nvidia is offering free AI courses.

Here are 9 AI courses you can take right now (for FREE): ︎ ︎ ︎ ︎

  1. Generative AI Explained

Learn generative AI concepts and applications, as well as the challenges and opportunities of this exciting field.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1

  1. AI Secrets I Wish I Knew

Hear from a panel of seasoned professionals, educators, and academic researchers on their personal journeys.

🦾 https://www.nvidia.com/en-us/on-demand/session/gtc24-s62690/

  1. Essential Training and Tips to Accelerate Your Career in AI

Gain valuable advice on leveraging NVIDIA technologies and resources to accelerate your own professional growth.

🦾 https://www.nvidia.com/en-us/on-demand/session/other2024-aicareer/

  1. Augment Your LLM Using Retrieval-Augmented Generation

Get a high-level overview of RAG and how it improves generative AI with large language models (LLMs).

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-16+V1

  1. Accelerate Data Science Workflows With Zero Code Changes

Learn how to use NVIDIA RAPIDS™ to speed up your CPU-based data science workflows to accelerate results and overall productivity.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-03+V1

  1. Getting Started With AI on Jetson Nano

Build and train a classification dataset and model with NVIDIA Jetson Nano™.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-RX-02+V2

  1. An Even Easier Introduction to CUDA

Learn the basics of writing parallel CUDA kernels to run on NVIDIA GPUs.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-AC-01+V1

  1. Getting Started With USD for Collaborative 3D Workflows

Learn how to generate a scene using Pixar's Universal Scene Description (OpenUSD) and foster collaboration between technical and creative world builders.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-02+V1

  1. Building RAG Agents With LLMs

Learn how, using a robust toolkit, prompt engineering can significantly enhance the capabilities of LLMs with minimal effort.

🦾 https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1

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Here's a link to Nvidia's latest blog post about their courses:

https://blogs.nvidia.com/blog/ai-data-science-career-development/

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<aside> <img src="https://pbs.twimg.com/profile_images/1795256389721337856/cWLOcGy4_normal.jpg" alt="https://pbs.twimg.com/profile_images/1795256389721337856/cWLOcGy4_normal.jpg" width="40px" /> There's An AI For That @theresanaiforit

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